code: def pipeline(self):
      args = self.parse_args()
  
      os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
      os.environ["CUDA_VISIBLE_DEVICES"] = str(args.gpu_num)
  
      from deepneuro.pipelines.Ischemic_Stroke.predict import (
          predict_ischemic_stroke,
      )
  
      predict_ischemic_stroke(
          args.output_folder,
          DWI=args.DWI,
          B0=args.B0,
          ground_truth=None,
          input_directory=args.input_directory,
          registered=args.registered,
          preprocessed=args.preprocessed,
          save_all_steps=args.save_all_steps,
          output_segmentation_filename=args.segmentation_output,
          quiet=args.quiet,
          save_only_segmentations=args.save_only_segmentations,
      )
  
file_path: DeepNeuro/deepneuro/pipelines/Ischemic_Stroke/cli.py
imports: import argparse
  import sys
  import os
  from deepneuro.pipelines.shared import DeepNeuroCLI
label_desc: Use image node_id 3 for calling the Segment_Ischemic_Stroke_cli obj's underlying member method code with example usage: obj.pipeline() without return types